#denoising

'A hands-on tutorial showing how to combine classical symbolic planning with neural perception and policy modules to create a robust, interpretable hybrid agent. Includes full Python code for planning, perception, integration and visualization.'

A hands-on guide to building a compact pipeline with SpeechBrain that generates speech, adds noise, enhances audio with MetricGAN+, and measures ASR word error rates before and after denoising